Works matching IS 15241904 AND DT 2025 AND VI 41 AND IP 1
Results: 20
Foreword Special Issue on New Frontiers in Reliability and Risk Analysis: A Tribute to Nozer Darabsha Singpurwalla.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.70000
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Reliability Analysis of Load‐Sharing Systems Using a Flexible Model With Piecewise Linear Functions.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2934
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Modelling Task Durations Towards Automated, Big Data, Process Mining.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2933
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Information About the Moments or the Likelihood Model Parameters? A Chicken and Egg Problem.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2931
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A Comprehensive Degradation Modeling Comparison From Statistical to Artificial Intelligence Models for Curing Oven Chains.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2930
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Normal Deviation of Gamma Processes in Random Environment With Applications.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2929
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Redundancy Allocation for Series and Parallel Systems: A Copula‐Based Approach.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2928
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Deep Thinking in Reliability and Risk Analysis: An Overview of Nozer D. Singpurwalla's Work.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2927
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Bayesian Forecasting of Value‐at‐Risk and Expected Shortfall in Cryptocurrency Markets: A Nonlinear Semi‐Parametric Framework.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2926
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Latent Activation Limited Failure Models, Stochastic Ordering and Identifiability.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2920
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On Classical Inference of a Flexible Semi‐Parametric Class of Distributions Under a Joint Balanced Progressive Censoring Scheme.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2924
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IIoT and Digital Twin: A Systematic Literature Review and Looking Beyond the State.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2923
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Joint Probability Functions for Scenarios Arising From Multi‐State Series and Multi‐State Parallel Systems.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2922
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Enhancing Predictive Modeling of Chinese Yam Shape Through Bayesian Linear Modeling and Key Diameter Modification.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2921
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Minimising by Simulation‐Based Optimisation the Cycle Time for the Line Balancing Problem in Real‐World Environments.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2925
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Heterogeneity in Populations and the Paradoxes of Survival: A Tribute to Nozer Singpurwalla.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2919
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Probability and Fuzzy Working in Concert—Honoring the Reliability Contributions of Nozer D. Singpurwalla.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2918
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Interpretable Machine Learning Based on Functional ANOVA Framework: Algorithms and Comparisons.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2916
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Negative Probability.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2910
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Issue Information.
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- Applied Stochastic Models in Business & Industry, 2025, v. 41, n. 1, p. 1, doi. 10.1002/asmb.2869
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- Article